Optimization for Maximizing Sum Secrecy Rate in SWIPT-Enabled NOMA Systems

Tang, Jie; Dai, Tuwang; Cui, Manman; Zhang, Xiu Yin; Shojaeifard, Arman; Wong, Kai-Kit; Li, Zan

doi:10.1109/access.2018.2859935

Cited by 32 publications

(15 citation statements)

References 31 publications

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“…In the literature, many works have explored the combination of SWIPT technology and NOMA network to reduce the power consumption of the terminals. For instance, studies on SWIPT-based SC-NOMA systems have been investigated in [22]- [26]. Specifically, the work in [22] considered incorporating the SWIPT in cooperative MISO SC-NOMA systems and developed a strategy of jointly optimizing PS ratio and the beamforming vectors to maximize the data rate of the ''strong user'' while satisfying the QoS requirements of ''weaker user''.…”

Section: A Related Workmentioning

confidence: 99%

“…Specifically, the work in [22] considered incorporating the SWIPT in cooperative MISO SC-NOMA systems and developed a strategy of jointly optimizing PS ratio and the beamforming vectors to maximize the data rate of the ''strong user'' while satisfying the QoS requirements of ''weaker user''. In [26], sum secrecy rate (SSR) maximization problem was addressed in a SWIPT-based SC-NOMA system, and the numerical results demonstrated that the performance gains in terms of SSR could be achieved over the conventional OMA as well as the SWIPT-based OMA systems.…”

Section: A Related Workmentioning

confidence: 99%

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A Deep Learning-Based Approach to Power Minimization in Multi-Carrier NOMA With SWIPT

et al. 2019

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Simultaneous wireless information and power transfer (SWIPT) and multi-carrier non-orthogonal multiple access (MC-NOMA) are promising technologies for future fifth generation and beyond wireless networks due to their potential capabilities in energy-efficient and spectrum-efficient system designs, respectively. In this paper, the joint downlink resource allocation problem for a SWIPT-enabled MC-NOMA system with time switching-based receivers is investigated, where pattern division multiple access (PDMA) technique is employed. We focus on minimizing the total transmit power of the system while satisfying the quality-of-service requirements of each user in terms of data rate and harvested power. The corresponding optimization problem is a non-convex and a mixed integer programming problem which is difficult to solve. Different from the conventional iterative searching-based algorithms, we propose an efficient deep learning-based approach to determine an approximated optimal solution. Specifically, we employ a typical class of deep learning model, namely, deep belief network (DBN), where the detailed procedure of the developed approach consists of three parts, i.e., data preparation, training, and running. The simulation results demonstrate that the proposed DBN-based approach can achieve similar performance of power consumption to the exhaustive search method. Furthermore, the results also confirm that MC-NOMA with PDMA outperforms MC-NOMA with sparse code multiple access, single-carrier non-orthogonal multiple access, and orthogonal frequency division multiple access in terms of power consumption in SWIPT-enabled systems. INDEX TERMS Non-orthogonal multiple access (NOMA), simultaneous wireless information and power transfer (SWIPT), machine learning.

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Section: A Related Workmentioning

confidence: 99%

Section: A Related Workmentioning

confidence: 99%

A Deep Learning-Based Approach to Power Minimization in Multi-Carrier NOMA With SWIPT

et al. 2019

Self Cite

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“…Proof. (18) and (19) are obtained via solving F Z (z) = Pr g RE < g JE P J P R,n z and f Z (z) = ∂ ∂z F Z (z), respectively.…”

Section: Communication In the Second Time Slotmentioning

confidence: 99%

“…The work of [18] investigated the secure transmission of a WEH relaying networks via analyzing the secrecy outage probability (SOP) and secrecy throughput in a delay-limited mode. The works of [19] considered a downlink NOMA system containing several EH receivers that can wiretap confidential information. To maximize the sum secrecy rate of this system, a strategy for optimizing NOMA power-allocation factors was proposed.…”

Section: Introductionmentioning

confidence: 99%

Secure Communication in Cooperative SWIPT NOMA Systems with Non-Linear Energy Harvesting and Friendly Jamming

Tuan

Hong

2020

Sensors

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This paper studies the secure communication of a non-orthogonal multiple-access (NOMA) relaying system in the presence of an eavesdropper in which the NOMA communication between a source and two users is assisted by an energy-harvesting (EH) relay. The relay extracts a part of its received signal strength using a power-splitting (PS) policy then harvests energy using a non-linear EH (NLEH) circuit. A friendly jammer sends jamming signals to help secure communication. The jammer is exploited as an additional energy source. A store-and-transmit (SaT) scheme which allows the EH relay to perform energy storing and information transmitting is proposed. For performance evaluation, the closed-form expressions for three metrics, secrecy outage probability (SOP), average achievable secrecy rate (AASR) and average stored energy (ASE) are derived. These results enable studies on the effects of various system parameters, such as NOMA power-allocation factors, target secrecy rates, jammer’s location, and relay’s power levels, on the system performance.

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“…In the downlink NOMA (DL NOMA) system with SWIPT, the authors of [ 18 ] studied the PLS with the optimum power splitting and power allocation problem for maximizing the secrecy sum rate. For maximizing the sum secrecy rate, the authors of [ 19 ] studied DL SWIPT-enabled NOMA satisfying the QoS demands of all users. The authors of [ 20 ] proposed the MIMO and SISO SWIPT NOMA scheme with joint optimization of power splitting (PS) and beamforming.…”

Section: Introductionmentioning

confidence: 99%

Novel SWIPT Schemes for 5G Wireless Networks

Rajaram

Khan

Tharranetharan

et al. 2019

Sensors

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In this paper, we present a few novel simultaneous wireless information and power transfer (SWIPT) schemes that can be effectively used in various 5G wireless network implementations. First, we study the possibility of integrating distributed energy beamforming with the data rate fairness beamforming in a cooperative communication system with multiple cooperative relays and multiple destination users communicating simultaneously. We show that the system exploits significant performance gain using such a joint energy and data rate fairness beamforming scheme. Further, we propose an enhanced version of the SWIPT scheme, the energy-efficient modulation-based non-orthogonal multiple access (M-NOMA) SWIPT scheme, and observe its system efficiency in terms of more harvested energy. Finally, we consider an energy-harvesting SWIPT scheme where the channel response is estimated using the energy-harvesting signal as pilots superimposed on the information signal. For such a scheme, we compute the optimum transmit power ratio between the pilot and information signals under varying SNR conditions and improve the accuracy of the decoding process at the reception.

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Optimization for Maximizing Sum Secrecy Rate in SWIPT-Enabled NOMA Systems

Cited by 32 publications

References 31 publications

A Deep Learning-Based Approach to Power Minimization in Multi-Carrier NOMA With SWIPT

A Deep Learning-Based Approach to Power Minimization in Multi-Carrier NOMA With SWIPT

Secure Communication in Cooperative SWIPT NOMA Systems with Non-Linear Energy Harvesting and Friendly Jamming

Novel SWIPT Schemes for 5G Wireless Networks

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